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Record W1575998838 · doi:10.7202/029822ar

Anaktuvuk Pass goes to town

2009· article· en· W1575998838 on OpenAlexvenueno aff
Margaret B. Blackman

Bibliographic record

VenueÉtudes/Inuit/Studies · 2009
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsTicketGeographySocioeconomicsHistorySociology

Abstract

fetched live from OpenAlex

The Nunamiut of Anaktuvuk Pass, Alaska have been going to town, one way or another, even before they relinquished their nomadic life in 1949-1950 to become settled in a village 100 miles from the nearest road and 250 miles from Fairbanks. Some years before they ever set foot in town, a few had credit accounts at the city’s Northern Commercial Company. In the mid-1950s a few village men were recruited as human subjects for cold adaptation experiments carried out at Ladd AFB outside of Fairbanks. This was their first plane ride and their first taste of city life. Medical emergencies—a flu epidemic, TB, and other illnesses that demanded medical treatment were the other ticket to Fairbanks in the 1950s, and then one typically had to wait to be flown out until the monthly mail plane came in. But by the 1960s the Native health care system saw to it that Anaktuvuk women came to town to deliver their babies in the hospital. Today Fairbanks is not only the doctor’s office but also the shopping mall and supermarket for outlying villages like Anaktuvuk Pass. It is many other things as well to the Nunamiut—site of the annual World Eskimo-Indian Olympics, the University of Alaska’s annual Festival of Native Arts, and the summer Tanana Valley Fair. It is Second Avenue with its string of dingy bars. This paper looks at more than 50 years of going to town, the significance of “town” in villagers’ lives, and the varied associations Fairbanks holds for the Nunamiut.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.098
GPT teacher head0.448
Teacher spread0.350 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

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